Deep learning review and discussion of its future development
MATEC Web Conf., 277 (2019) 02035
Published online: 2019-04-02
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Scalable and generalizable AI-based intrusion detection in AIoT: a review and lightweight ensemble solution
Shayma Wail Nourildean, Wafa Mefteh and Ali Mohsen FrihidaInternational Journal of Data Science and Analytics 21 (1) (2026)
https://doi.org/10.1007/s41060-025-00980-z
Convolutional Neural Network and Human Age Detection : A Pilot Study
Jacob A. Ogar, M. M. Liman and C. A. BarkaInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology 12 (1) 286 (2026)
https://doi.org/10.32628/CSEIT2612134
1 (2025)
https://doi.org/10.1109/ICETI4T63625.2025.11132205
PRIMENA VEŠTAČKE INTELIGENCIJE U OTKRIVANJU PREVARA U TURIZMU
Ivan Trifunović, Žaklina Spalević, Dejan Rančić, Filip Marković and Milan SimićLIMES PLUS 277 (2025)
https://doi.org/10.69899/limes-plus24212-3277t
Ensemble and Hybrid Models in Automated Essay Scoring: A Literature Review
Vidasha Ramnarain-Seetohul, Yasmine Rosunally and Vandana BassooSN Computer Science 6 (6) (2025)
https://doi.org/10.1007/s42979-025-04245-1
1 (2025)
https://doi.org/10.1109/IWSSIP66997.2025.11151925
High‐Performance Deep Learning for Instant Pest and Disease Detection in Precision Agriculture
Muhammad Bilal, Asghar Ali Shah, Sagheer Abbas and Muhammad Adnan KhanFood Science & Nutrition 13 (9) (2025)
https://doi.org/10.1002/fsn3.70963
APPLICATION OF ARTIFICIAL INTELLIGENCE IN DETECTING FRAUD IN TOURISM
Ivan Trifunović, Žaklina Spalević, Dejan Rančić, Filip Marković and Milan SimićLimes-Plus 20 (2-3) 253 (2025)
https://doi.org/10.69899/limes-plus-en-24212-3253t
1 (2025)
https://doi.org/10.1109/ICMNWC66779.2025.11354346
1 (2025)
https://doi.org/10.1109/IEMECON69302.2025.11365826
1 (2024)
https://doi.org/10.1109/UPCON62832.2024.10983299
Computer vision methods and algorithms for automatic detection and classification of objects in decision support systems in agriculture
Alena Yablokova, Igor Kovalev, Dmitry Kovalev, Valeria Podoplelova, Aziza Kobilova and I. KovalevE3S Web of Conferences 548 03023 (2024)
https://doi.org/10.1051/e3sconf/202454803023
1 (2024)
https://doi.org/10.1109/ICEIC61013.2024.10457278
Handbook of Research on AI Methods and Applications in Computer Engineering
Fatima Al HusseinyAdvances in Computer and Electrical Engineering, Handbook of Research on AI Methods and Applications in Computer Engineering 42 (2023)
https://doi.org/10.4018/978-1-6684-6937-8.ch003
294 (2023)
https://doi.org/10.1109/PRML59573.2023.10348344
Automatic focal EEG identification based on deep reinforcement learning
Xinyu Liu, Xin Ding, Jianping Liu, Weiwei Nie and Qi YuanBiomedical Signal Processing and Control 83 104693 (2023)
https://doi.org/10.1016/j.bspc.2023.104693
Stripe Noise Detection of High-Resolution Remote Sensing Images Using Deep Learning Method
Binbo Li, Ying Zhou, Donghai Xie, Lijuan Zheng, Yu Wu, Jiabao Yue and Shaowei JiangRemote Sensing 14 (4) 873 (2022)
https://doi.org/10.3390/rs14040873
An in-depth review of machine learning based Android malware detection
Ali Muzaffar, Hani Ragab Hassen, Michael A. Lones and Hind ZantoutComputers & Security 121 102833 (2022)
https://doi.org/10.1016/j.cose.2022.102833
A bibliometric analysis on deep learning during 2007–2019
Yang Li, Zeshui Xu, Xinxin Wang and Xizhao WangInternational Journal of Machine Learning and Cybernetics 11 (12) 2807 (2020)
https://doi.org/10.1007/s13042-020-01152-0